scdhlm: Estimating Hierarchical Linear Models for Single-Case Designs

Provides a set of tools for estimating hierarchical linear
models and effect sizes based on data from single-case designs.
Functions are provided for calculating standardized mean difference effect sizes that
are directly comparable to standardized mean differences estimated from between-subjects randomized experiments,
as described in Hedges, Pustejovsky, and Shadish (2012) <doi:10.1002/jrsm.1052>;
Hedges, Pustejovsky, and Shadish (2013) <doi:10.1002/jrsm.1086>; and
Pustejovsky, Hedges, and Shadish (2014) <doi:10.3102/1076998614547577>.
Includes an interactive web interface.